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Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial

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  • Jamal Jokar Arsanjani

    (Geoinformatics Research Group, Department of Planning, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark)

Abstract

Remote sensing, as well as the recent advancements of crowd sensing, along with novel and recent geospatial technologies, have great potential to explore and understand the relationships between our surroundings—in particular our urban and rural environments and natural spaces—and public health through environmental factors [1,2].[...]

Suggested Citation

  • Jamal Jokar Arsanjani, 2017. "Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial," IJERPH, MDPI, vol. 14(4), pages 1-3, April.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:4:p:405-:d:95551
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    References listed on IDEAS

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    1. Wei Wang & Wei Gong & Feiyue Mao & Zengxin Pan & Boming Liu, 2016. "Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China," IJERPH, MDPI, vol. 13(5), pages 1-13, May.
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    7. Xuan Shi & Bowei Xue & Imam M. Xierali, 2016. "Identifying the Uncertainty in Physician Practice Location through Spatial Analytics and Text Mining," IJERPH, MDPI, vol. 13(9), pages 1-15, September.
    8. Tianhao Zhang & Wei Gong & Wei Wang & Yuxi Ji & Zhongmin Zhu & Yusi Huang, 2016. "Ground Level PM 2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO 2 and Enhanced Vegetation Index (EVI)," IJERPH, MDPI, vol. 13(12), pages 1-12, December.
    9. Osadolor Ebhuoma & Michael Gebreslasie, 2016. "Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa," IJERPH, MDPI, vol. 13(6), pages 1-29, June.
    10. Liang Wu & Fei Deng & Zhong Xie & Sheng Hu & Shu Shen & Junming Shi & Dan Liu, 2016. "Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
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